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Student Project | Computer Science & Engineering | India | Volume 10 Issue 6, June 2021
Krashi Prabhandak (Agricultural Manager)
Prafful Mundra  | A V Pavan Krishna | Swarnalatha P  | Venkata Sumanth Kakollu
Abstract: Plant diseases are generally caused by pests, insects, and pathogens which may affect productivity on a large scale if not controlled in due time. Losses are incurred in the agricultural sector due to various crop diseases. It is difficult to monitor acres of fields for farmers. The proposed prototype "Krashi Prabandhak", provides the solution for effective management of the cultivated area by recognizing plant species and detecting diseases just by scanning the image of the uploaded leaf of the same. It also links the user to concerned awareness blogs regarding the species found or the disease detected. These blogs, separate from the news feed on the home page of the website, provide information worth reading about the recognized species such as favorable conditions to grow, time of the year, or environmental conditions best suitable for growth. They also provide relevant causes and remedies for the disease detected, resulting in an efficient "Agricultural Management System".
Keywords: machine learning, species recognition, disease detection, random forest, sequential model, deep learning model
Edition: Volume 10 Issue 6, June 2021,
Pages: 1717 - 1724
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